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Bhaskar DasGupta

Researcher at University of Illinois at Chicago

Publications -  261
Citations -  5996

Bhaskar DasGupta is an academic researcher from University of Illinois at Chicago. The author has contributed to research in topics: Approximation algorithm & Time complexity. The author has an hindex of 37, co-authored 254 publications receiving 5573 citations. Previous affiliations of Bhaskar DasGupta include Technical University of Berlin & University of Illinois at Urbana–Champaign.

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The Stewart platform manipulator: a review

TL;DR: A review of the literature on the six-degree-of-freedom parallel manipulator commonly known as the Stewart platform can be found in this article, where the authors highlight the distinctions of this class from the conventional serial robot manipulators and the novel perspectives that are necessary for the analysis and design of the Stewart platforms in particular and parallel manipulators in general.
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A Newton-Euler Formulation for the Inverse Dynamics of the Stewart Platform Manipulator

TL;DR: In this paper, an inverse dynamic formulation by the Newton-Euler approach for the Stewart platform manipulator of the most general architecture and models all the dynamic and gravity effects as well as the viscous friction at the joints is presented.

A Newton-Euler formulation for the inverse dynamics of the Stewart platform manipulator

TL;DR: An inverse dynamic formulation by the Newton–Euler approach for the Stewart platform manipulator of the most general architecture is presented and models all the dynamic and gravity effects as well as the viscous friction at the joints.
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Closed-Form Dynamic Equations of the General Stewart Platform through the Newton–Euler Approach

TL;DR: In this paper, the authors address the question of dynamic formulation of the six-degrees-of-freedom parallel manipulator known as the Stewart platform and derive the dynamic equations for the two widely used kinematic structures of the Stewart platforms through the Newton-Euler approach.
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A general strategy based on the Newton-Euler approach for the dynamic formulation of parallel manipulators

TL;DR: In this paper, a general strategy based on the Newton-Euler approach to the dynamic formulation of parallel manipulators is presented, which can be used with advantage not only for inverse dynamics computations, but also for the derivation of dynamic equations in closed form.